Sai Ma

1.8k total citations · 1 hit paper
30 papers, 530 citations indexed

About

Sai Ma is a scholar working on Economics and Econometrics, Finance and General Economics, Econometrics and Finance. According to data from OpenAlex, Sai Ma has authored 30 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Economics and Econometrics, 12 papers in Finance and 9 papers in General Economics, Econometrics and Finance. Recurrent topics in Sai Ma's work include Market Dynamics and Volatility (12 papers), Monetary Policy and Economic Impact (9 papers) and Financial Markets and Investment Strategies (8 papers). Sai Ma is often cited by papers focused on Market Dynamics and Volatility (12 papers), Monetary Policy and Economic Impact (9 papers) and Financial Markets and Investment Strategies (8 papers). Sai Ma collaborates with scholars based in United States, China and Switzerland. Sai Ma's co-authors include Sydney C. Ludvigson, Serena Ng, Juan M. Londoño, Martin Lettau, Beth Anne Wilson, Boyan Jovanovic, John H. Rogers, Marius Rodriguez, Ilknur Zer and Mohammad R. Jahan‐Parvar and has published in prestigious journals such as The Journal of Finance, American Economic Review and Management Science.

In The Last Decade

Sai Ma

26 papers receiving 490 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Uncertainty and Business Cycles: Exogenous Impulse or Endogenous Response?

2021 320 citations Sydney C. Ludvigson, Sai Ma et al. American Economic Journal Macroeconomics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sai Ma United States	8	437	302	217	48	29	30	530
Manuel M. F. Martins Portugal	11	317 0.7×	254 0.8×	206 0.9×	19 0.4×	27 0.9×	29	424
İrfan Civcir Türkiye	12	308 0.7×	249 0.8×	153 0.7×	43 0.9×	44 1.5×	30	402
Thomas Drechsel United States	7	273 0.6×	227 0.8×	230 1.1×	47 1.0×	16 0.6×	15	423
Vincent Bodart Belgium	7	389 0.9×	247 0.8×	209 1.0×	33 0.7×	22 0.8×	14	452
Brent Bundick United States	9	583 1.3×	507 1.7×	215 1.0×	26 0.5×	51 1.8×	36	669
Yves S. Schüler Germany	13	308 0.7×	308 1.0×	506 2.3×	48 1.0×	12 0.4×	35	650
Laurence E. Blose United States	7	318 0.7×	139 0.5×	133 0.6×	92 1.9×	28 1.0×	14	373
Karl Walentin Sweden	11	460 1.1×	438 1.5×	253 1.2×	70 1.5×	8 0.3×	26	598
Bhavesh Garg India	8	397 0.9×	127 0.4×	113 0.5×	45 0.9×	52 1.8×	25	455
Bernd Wilfling Germany	10	300 0.7×	114 0.4×	242 1.1×	47 1.0×	36 1.2×	29	363

Countries citing papers authored by Sai Ma

Since Specialization

Citations

This map shows the geographic impact of Sai Ma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sai Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai Ma more than expected).

Fields of papers citing papers by Sai Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sai Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sai Ma. The network helps show where Sai Ma may publish in the future.

Co-authorship network of co-authors of Sai Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Sai Ma. A scholar is included among the top collaborators of Sai Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sai Ma. Sai Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Londoño, Juan M., Sai Ma, & Beth Anne Wilson. (2025). Costs of Rising Uncertainty. FEDS Notes. None–None.

2.

Londoño, Juan M., Sai Ma, & Beth Anne Wilson. (2024). The Unseen Cost of Inflation: Measuring Inflation Uncertainty and Its Economic Repercussions. SSRN Electronic Journal. 1 indexed citations

3.

Liu, Chenming, et al.. (2024). Joint Luminance Adjustment and Color Correction for Low-Light Image Enhancement Network. Applied Sciences. 14(14). 6320–6320. 2 indexed citations

4.

Bianchi, Francesco, Sydney C. Ludvigson, & Sai Ma. (2024). What Hundreds of Economic News Events Say About Belief Overreaction in the Stock Market. SSRN Electronic Journal. 1 indexed citations

5.

Jovanovic, Boyan & Sai Ma. (2023). Growth through Learning. Review of Economic Dynamics. 50. 211–234.

6.

Londoño, Juan M., Sai Ma, & Beth Anne Wilson. (2023). The Global Transmission of Real Economic Uncertainty. SSRN Electronic Journal. 2 indexed citations

7.

Ma, Sai & Tim Schmidt‐Eisenlohr. (2023). The Financial Channel of the Exchange Rate and Global Trade. SSRN Electronic Journal. 2 indexed citations

8.

Londoño, Juan M., Sai Ma, & Beth Anne Wilson. (2023). Global Inflation Uncertainty and its Economic Effects. FEDS Notes. None–None. 5 indexed citations

9.

Liu, Chenming, et al.. (2022). Learning Moiré Pattern Elimination in Both Frequency and Spatial Domains for Image Demoiréing. Sensors. 22(21). 8322–8322. 3 indexed citations

10.

Li, Chenghua, et al.. (2022). Gamma-enhanced Spatial Attention Network for Efficient High Dynamic Range Imaging. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 1031–1039. 4 indexed citations

11.

Jovanovic, Boyan & Sai Ma. (2021). Uncertainty and growth disasters. Review of Economic Dynamics. 44. 33–64. 15 indexed citations

12.

Ludvigson, Sydney C., Sai Ma, & Serena Ng. (2021). Uncertainty and Business Cycles: Exogenous Impulse or Endogenous Response?. American Economic Journal Macroeconomics. 13(4). 369–410. 320 indexed citations breakdown →

13.

Ludvigson, Sydney C., Sai Ma, & Serena Ng. (2021). COVID-19 and the Costs of Deadly Disasters. AEA Papers and Proceedings. 111. 366–370. 19 indexed citations

14.

Jovanovic, Boyan, Sai Ma, & Peter L. Rousseau. (2020). Private Equity and Growth. SSRN Electronic Journal. 1 indexed citations

15.

Ma, Sai, et al.. (2020). The Causal Effect of the Dollar on Trade. SSRN Electronic Journal. 2 indexed citations

16.

Bianchi, Francesco, Sydney C. Ludvigson, & Sai Ma. (2020). Belief Distortions and Macroeconomic Fluctuations. American Economic Review. 112(7). 2269–2315. 1 indexed citations

17.

Zer, Ilknur, Olesya V. Grishchenko, Mohammad R. Jahan‐Parvar, et al.. (2020). What is Certain about Uncertainty?. International Finance Discussion Paper. 2020.0(1294). 15 indexed citations

18.

Londoño, Juan M., Sai Ma, & Beth Anne Wilson. (2019). Quantifying the Impact of Foreign Economic Uncertainty on the U.S. Economy. FEDS Notes. 2019.0(2463). 8 indexed citations

19.

Ma, Sai. (2018). Heterogeneous Intermediaries and Asset Prices. SSRN Electronic Journal. 6 indexed citations

20.

Lettau, Martin, Sydney C. Ludvigson, & Sai Ma. (2015). Capital Share Risk and Shareholder Heterogeneity in U.S. Stock Pricing. RePEc: Research Papers in Economics. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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